885 search results - page 12 / 177 » Random Matrices in Data Analysis |
AAAI
2008
13 years 10 months ago
2008
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
SODA
2010
ACM
14 years 5 months ago
2010
ACM
We consider the following "efficiently decodable" nonadaptive group testing problem. There is an unknown string x {0, 1}n with at most d ones in it. We are allowed to t...
JCISD
2006
13 years 7 months ago
2006
We propose a new classification method for prediction of drug properties, called the Random Feature Subset Boosting for Linear Discriminant Analysis (LDA). The main novelty of this...
BCBGC
2008
13 years 9 months ago
2008
We introduce the data model BM, which specifies kernels of motifs by means of Boolean matrices. Different from position frequency matrices these only specify which bases can appea...
ICIP
2001
IEEE
14 years 9 months ago
2001
IEEE
In this paper, we present a novel framework for analyzing video using self-similarity. Video scenes are located by analyzing inter-frame similarity matrices. The approach is flexi...